Tag: agentic AI architecture
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Agentic AI Payoff: Govern the Loop, Not the Spend
One of the largest asset managers in the world says AI has delivered zero financial payoff outside tech. The model was never the missing piece. The harness was. I lay out the six layers that turn token spend into a margin the CFO can see.
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Agentic AI Harness: Nobody Drives an Engine
An agentic AI harness is everything in the agent except the model. The engine is the model. The fuel tank, transmission, gears, brakes, key, governor and dashboard are the harness. This post maps all seventeen, one car part at a time.
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Agentic AI Without LLMs? It Flew a Spacecraft in 1999
Agentic AI without LLMs has run spacecraft, data centers and mortgage underwriting for decades. It works only inside a closed world a human built. Here is what the LLM adds, what it does not, and how a regulated enterprise wires the two together.
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Agentic AI RACI Matrix: Governance Owns the Autonomy
What is an agentic AI RACI matrix? An agentic AI RACI matrix is a one-page chart for an agentic AI project. It names who is Responsible, Accountable, Consulted and Informed for every activity in the lifecycle. The chart runs from the first intent statement to the decision to expand or roll back autonomy. It differs…
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Agentic AI Architecture Map
Every post on agenticaiarch.com: by the six-layer architecture that decides outcomes, and by the Five-Stage Roadmap an agent program moves through. Click any post to open it: Six-Layer Agentic AI Architecture Pillar: What Is Agentic AI Architecture? Pillar & Foundations The map itself, the vocabulary, and the definitions everything else hangs on What Is Agentic…
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Agentic AI Escalation Design: Name the Human First
What is agentic AI escalation design? Agentic AI escalation design is the decision, made before go-live, about who an agent calls when it is stuck, how it reaches them, and what happens if they do not answer. The harness enforces it, not the prompt. So an agent that pauses for a human it cannot name…
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Agentic AI Subagents: One Agent Cannot Check Itself
What are agentic AI subagents? Agentic AI subagents are separate agents that a main agent hands work to. Each one runs in its own context window, with its own tools and its own permissions. So the main agent never sees the mess, only the result. And one of those subagents can be the one that…
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Agentic AI Governance Controls: 10 Questions, 10 Answers
What are agentic AI governance controls? Agentic AI governance controls are the checks built around an AI agent that decide what it may do. Some only guide the agent. Others can stop it. You cannot govern an agent with a policy document. You can govern it with controls around it. New here? I publish one…
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What Is Agentic AI Context Caching? Stop Resending the Codebase
What Is Agentic AI Context Caching? Agentic AI context caching is the runtime control that lets an agent pay once to process a large, stable block of context. On every later turn, the agent reuses the provider’s stored computation at about a tenth of the price. The block is usually the system prompt, the tool…
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Enterprise Agentic AI roadmap for 2027
An enterprise agentic AI roadmap for 2027 is a governance plan with an architecture inside it. For a Fortune 1000 company it is the year the weakest production agent climbs from Piloted to Governed, and the best one earns Assured, one exit gate at a time. This is the fall 2026 edition, the one about…
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What Is Agentic AI Context Compaction? Decide What Goes
Agentic AI context compaction is the step in an agent’s runtime loop where the harness takes a conversation that is nearing the context window limit, has the model write a summary of it, and restarts the loop with that summary in place of the original history. Everything before the summary is gone from the model’s…
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Agentic AI SDLC vs Traditional SDLC: What Changes
An agentic AI SDLC is a software development lifecycle in which AI agents, not developers, execute the work inside each phase, and humans move to setting intent, approving plans, reviewing outcomes and governing the loop. That one sentence is the whole difference from the lifecycle most enterprises still run. In a traditional SDLC a person…
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10 SDLC Assumptions Agentic AI Breaks, Mapped
Agentic AI architecture is not the software development lifecycle with a model bolted onto it. It is a different lifecycle, because the thing being shipped no longer behaves the same way twice. The traditional SDLC assumes you write a specification, test outputs against expected values, and promote a build that behaves in production the way…
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What Is Agentic AI Technology? A Practitioner’s Field Map of the Enterprise Stack
“Agentic AI technology is the software stack that lets an enterprise hand a system an outcome to achieve rather than a script to execute” © Dr. Harish Kotadia, 2026 — the model, memory, tools, identity, guardrails, and observability that turn a goal into governed, auditable action. Instructions in, results out — that was IT. Intent…